Description
This book presents a cohesive exploration of table tennis through the Table Tennis Notation System (TTNS), showing how binary codes and symbols can capture strokes, serves, tactics, and entire rallies with precision, enabling meaningful comparisons of playing styles and revealing the underlying logic of the sport; it moves from the engineering of blades, rubbers, and ball behaviour to the dynamics of rhythm, tactics, and coded play, before extending these ideas into practical applications for coaching, training, performance analysis, and artificial intelligence, ultimately offering players, coaches, analysts, and curious readers a clear, integrated framework for understanding the game s blend of power, touch, control, creativity, instinct, and strategy.
Chapter 1 Introduction.- Chapter 2 Impact Mechanics: The Origin of Speed and Spin.- Chapter 3 Trajectory Dynamics: Flight, Drag, and Magnus Effect.- Chapter 4 Strokes, Serves, and Tactics.- Chapter 5 Dialectical Understanding of the Attributes.- Chapter 6 A Discrete Framework for Table Tennis Analysis.- Chapter 7 Quantifying Tactical Strategy.- Chapter 8 Encoding the Essential Strokes.- Chapter 9 Encoding the Essential Serves.- Chapter 10 Variation in Play: The Physics of Disruption.- Chapter 11 Match Analysis via Layered Decomposition.- Chapter 12 Interpreting the Game as a System.
Dr. Xiu Ji holds a BEng in Mechanical Engineering, an MEng in Cybernetics, and a Ph.D. in Artificial Intelligence. She is a senior lecturer in Engineering at Manchester Metropolitan University, where she teaches across Physics, Mathematics, Control Engineering Systems, the Internet of Things, and advanced topics in Industry 4.0, including PROFIBUS and PROFINET automation systems.
Dr. Ji is a senior fellow of the Higher Education Academy (SFHEA), a Chartered Engineer (CEng) with the UK Engineering Council, and a Member of the Institution of Engineering and Technology (MIET). Her academic career combines engineering practice with innovative teaching and research, and she has led modules ranging from engineering mathematics to large-scale group design projects. Her expertise spans the integration of artificial intelligence with engineering education
